ISBN: 9780444522092 - Computational and Numerical Challenges in Environmental Modelling (volume 13) (studies in Computational Mathematics, Volume 13) (9 results)

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  • Language: English

    Published by Elsevier Science, 2006

    0444522093 / 9780444522092

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  • Language: English

    Published by Elsevier Science, 2006

    0444522093 / 9780444522092

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  • Language: English

    Published by Elsevier Science & Technology, Oxford, 2006

    0444522093 / 9780444522092

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    Hardcover. Condition: new. Hardcover. Computational and Numerical Challenges in Environmental Modelling, Volume 13 Demonstrates that many comprehensive environmental studies can successfully be carried out when the computations are correctly organized. This book helps the reader to understand that, while it is important to select fast numerical methods, it is important to develop parallel codes. It investigates the trends related to high levels of pollution. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

  • Language: English

    Published by Elsevier Science, 2006

    0444522093 / 9780444522092

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    Gebunden. Condition: New. Use of templates in connection with the treatment of very large models Performance of comprehensive environmental studies Obtaining reliable and robust information about pollution levels Studying the impact of future clim.

  • Language: English

    Published by Elsevier Science Ltd, 2006

    0444522093 / 9780444522092

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    Hardcover. Condition: Brand New. 1st edition. 373 pages. 9.25x6.50x0.75 inches. In Stock.

  • Language: English

    Published by Elsevier Science & Technology, 2006

    0444522093 / 9780444522092

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  • Language: English

    Published by Elsevier Science & Technology, Oxford, 2006

    0444522093 / 9780444522092

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    Hardcover. Condition: new. Hardcover. Computational and Numerical Challenges in Environmental Modelling, Volume 13 Demonstrates that many comprehensive environmental studies can successfully be carried out when the computations are correctly organized. This book helps the reader to understand that, while it is important to select fast numerical methods, it is important to develop parallel codes. It investigates the trends related to high levels of pollution. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

  • Language: English

    Published by Elsevier Science Jun 2006, 2006

    0444522093 / 9780444522092

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Many large mathematical models, not only models arising and used in environmental studies, are described by systems of partial differential equations. The discretization of the spatial derivatives in such models leads to the solution of very large systems of ordinary differential equations. These systems contain many millions of equations and have to be handled over large time intervals by applying many time-steps (up to several hundred thousand time-steps). Furthermore, many scenarios are as a rule to be run. This explains the fact that the computational tasks in this situation are enormous. Therefore, it is necessary to select fast numerical methods; to develop parallel codes and, what is most important when the problems solved are very large to organize the computational process in a proper way.The last item (which is very often underestimated but, let us re-iterate, which is very important) is the major topic of this book. In fact, the proper organization of the computational process can be viewed as a preparation of templates which can be used with different numerical methods and different parallel devices. The development of such templates is described in the book. It is also demonstrated that many comprehensive environmental studies can successfully be carried out when the computations are correctly organized. Thus, this book will help the reader to understand better that, while (a) it is very important to select fast numerical methods as well as (b) it is very important to develop parallel codes, this will not be sufficient when the problems solved are really very large. In the latter case, it is also crucial to exploit better the computer architecture by organizing properly the computational process. 392 pp. Englisch.…

  • Language: English

    Published by Elsevier Science, 2006

    0444522093 / 9780444522092

    • Hardcover
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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Many large mathematical models, not only models arising and used in environmental studies, are described by systems of partial differential equations. The discretization of the spatial derivatives in such models leads to the solution of very large systems of ordinary differential equations. These systems contain many millions of equations and have to be handled over large time intervals by applying many time-steps (up to several hundred thousand time-steps). Furthermore, many scenarios are as a rule to be run. This explains the fact that the computational tasks in this situation are enormous. Therefore, it is necessary to select fast numerical methods; to develop parallel codes and, what is most important when the problems solved are very large to organize the computational process in a proper way.The last item (which is very often underestimated but, let us re-iterate, which is very important) is the major topic of this book. In fact, the proper organization of the computational process can be viewed as a preparation of templates which can be used with different numerical methods and different parallel devices. The development of such templates is described in the book. It is also demonstrated that many comprehensive environmental studies can successfully be carried out when the computations are correctly organized. Thus, this book will help the reader to understand better that, while (a) it is very important to select fast numerical methods as well as (b) it is very important to develop parallel codes, this will not be sufficient when the problems solved are really very large. In the latter case, it is also crucial to exploit better the computer architecture by organizing properly the computational process.…